Hope pays $126 for 6 theater tickets.
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a point estimate for p is 75.6 %
To calculate point estimate
point estimate = = 75.6%
- In statistics, point estimating uses sample data to determine a single value that will serve as the "best guess" or "best estimate" of an unidentified population parameter.
- It is called a point estimate because it identifies a point in some parameter space (for example, the population mean). More precisely, it is the process of applying a point estimator to the data in order to produce a point estimate.
- Point estimation can be compared with interval estimation, where the interval estimates are typically either credible intervals or confidence intervals depending on whether frequentist or Bayesian inference is being used. A point estimator can be compared to a set estimator more generically.
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Question:
A random sample of 78 students were interviewed and 59 said they would vote fore a democrat in the 2008 election. 1. Let p represent the proportion of all students at this college who will vote for a democrat. Find a point estimate p for p.
Applying the properties of a rhombus, the missing angles are determined as:
- m∠1 = 90°
- m∠2 = 42°
- m∠3 = 42°
- m∠4 = 48°
- m∠5 = 48°
- Diagonals of a rhombus bisect each other at right angles (they are perpendicular to each other).
- All four sides are equal.
- Adjacent angles in a rhombus are supplementary, that is, their sum equals 180 degrees.
- Opposite angles are equal in a rhombus.
- Diagonals of a rhombus bisect each of the angles into two equal halves.
Using the properties of a rhombus, the missing angles in the diagram attached below would be determined as follow:
m∠1 = 90° (right angle)
m∠4 = 48°
m∠2 = 180 - (90 + 48) = 42°
m∠3 = m∠2 = 42°
m∠5 = 180 - (90 + 42) = 48°
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